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Hello, thanks a lot for your work. I have a question about the testing result on Synapse dataset.
I have trained the network with R50-ViT-B_16, and base_lr=0.01, batch_size=24,n_skip=3, img_size=224, max_epochs=300, vit_patches_size=16. The difference with method in paper is: num_classes=14, because there 13 classes and background in Synapse dataset.
After 300 epochs, I use <python test.py --dataset Synapse --vit_name R50-ViT-B_16 --max_epochs 300> to test. However, I got <mean_dice : 0.131854 mean_hd95 : 83.012894>, this is far from the result in paper.
I don't know the reason. Can somebody help me?
The text was updated successfully, but these errors were encountered:
I also encountered the same problem, it has been bothering me for several days, I don't know what is wrong, how to solve this problem, could you tell me, I would be very grateful.
Hello, thanks a lot for your work. I have a question about the testing result on Synapse dataset.
I have trained the network with R50-ViT-B_16, and base_lr=0.01, batch_size=24,n_skip=3, img_size=224, max_epochs=300, vit_patches_size=16. The difference with method in paper is: num_classes=14, because there 13 classes and background in Synapse dataset.
After 300 epochs, I use <python test.py --dataset Synapse --vit_name R50-ViT-B_16 --max_epochs 300> to test. However, I got <mean_dice : 0.131854 mean_hd95 : 83.012894>, this is far from the result in paper.
I don't know the reason. Can somebody help me?
The text was updated successfully, but these errors were encountered: